Where do I obtain my Toggl Plan Access Token?

Navigate to the Toggl Plan web panel, head over to your **Profile settings**, and locate the Developer/API Integrations segment. You will need a valid Access Token (often labeled API or OAuth Bearer token in your administrative view). Create it permanently and keep the exposed hash secure.

Does the system support permanent deletion of elements?

Yes. This connector features a `delete_timeline_task` handler. If specifically instructed by you, the AI agent is capable of making a permanent removal request which cannot be un-done. You should instruct the AI cautiously when using mutations.

Are there any data sync delays when updating timelines with the agent?

No. Toggl Plan's API ensures immediate reflection of all timeline and milestone changes. When the agent updates a task or resource allocation, it instantly appears in the web interface for all workspace users without any caching delays.

Toggl Plan MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Toggl Plan
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Toggl Plan through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Toggl Plan Assistant",
            instructions=(
                "You help users interact with Toggl Plan. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Toggl Plan"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Toggl Plan MCP Server

Connect your Toggl Plan workspaces to an AI agent entirely bypassing the complex graphical interfaces. Allow your project managers and team leads to directly read, create, and organize workload data, milestones, and daily tasks inside a conversational or command-driven environment.

The OpenAI Agents SDK auto-discovers all 10 tools from Toggl Plan through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Toggl Plan, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Timeline Oversight — Search workspaces to list, read, or inspect the metadata details of specific timeline tasks and milestones
Project Construction — Easily list all the active project segments directly on your terminal to know what your team is facing today
Task Execution — Complete the full cycle of task management: Create new nodes on the timeline, update existing entries, or delete deprecated ones through simple instructions
Fleet Operations — Manage human resources by securely listing all registered workspace users to assign workloads correctly
Taxonomy Organization — Check and retrieve current tagging structures to ensure standardized labels

The Toggl Plan MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Toggl Plan to OpenAI Agents SDK via MCP

Follow these steps to integrate the Toggl Plan MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Toggl Plan

Why Use OpenAI Agents SDK with the Toggl Plan MCP Server

OpenAI Agents SDK provides unique advantages when paired with Toggl Plan through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Toggl Plan + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Toggl Plan MCP Server delivers measurable value.

Automated workflows: build agents that query Toggl Plan, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Toggl Plan, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Toggl Plan tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Toggl Plan to resolve tickets, look up records, and update statuses without human intervention

Toggl Plan MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Toggl Plan to OpenAI Agents SDK via MCP:

create_timeline_task

Requires workspace ID, task name, and project ID. Creates a new task on the Toggl Plan timeline

delete_timeline_task

This action is irreversible. Permanently deletes a task from the timeline

get_project_details

Retrieves details for a specific project

get_task_details

Retrieves details for a specific timeline task

list_milestones

Lists all project milestones

list_timeline_tasks

Requires a workspace ID. Lists all tasks on the Toggl Plan timeline for a specific workspace

list_workspace_projects

Lists all projects in a specific Toggl Plan workspace

list_workspace_tags

Lists all tags used for task categorization

list_workspace_users

Lists all users with access to the workspace

update_timeline_task

Provide updates as a JSON object. Updates an existing timeline task

Example Prompts for Toggl Plan in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Toggl Plan immediately.

"List all active projects in Workspace 992211."

"Create a timeline task named 'Re-authenticate module' in Project 19332, workspace 992211."

Troubleshooting Toggl Plan MCP Server with OpenAI Agents SDK

Common issues when connecting Toggl Plan to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Toggl Plan + OpenAI Agents SDK FAQ

Common questions about integrating Toggl Plan MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.